Triple
T27085481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscat de Beaumes-de-Venise |
E686024
|
entity |
| Predicate | grapeHarvestStyle |
P148365
|
FINISHED |
| Object | hand-harvested |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: hand-harvested | Statement: [Muscat de Beaumes-de-Venise, grapeHarvestStyle, hand-harvested]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeHarvestStyle Context triple: [Muscat de Beaumes-de-Venise, grapeHarvestStyle, hand-harvested]
-
A.
harvestStyle
chosen
Indicates the manner or method by which a harvesting action is carried out.
-
B.
grapeProduct
Indicates that one entity is a product derived from or made using grapes.
-
C.
grapeVarietyType
Indicates the specific type or classification of a grape variety used or referred to in a given context.
-
D.
grapeSource
Indicates that one entity is the origin or provider of grapes used by another entity.
-
E.
grapeSourceFlexibility
Indicates that the source or origin of grapes involved in a relationship or process can vary or be chosen flexibly rather than being fixed.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62345517c819082ca0c9f67792e67 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:37 a.m.